Ethical Fashion Dashboard
| Interactive dashboard exploring sustainability and fair wage practices of various fashion companies and their headquarters |
|---|
| Contains visualizations of 5 key metrics related to sustainability and fair wage practices. End-to-end process includes sourcing data from Fashion Revolution, cleaning and formatting in Python, loading into PostgreSQL via SQLAlchemy, creating a Flask App to link PostgreSQL database, constructing a website using JavaScript, Bootstrap, and HTML, and creating visualizations using D3, Plotly, and Leaflet. |
** Note: Interactive dashboard is not public because the data is not connected to a server, it is stored locally. As a result, a video demonstration of the dashboard is provided.
Visualizing Collisions
| Exploratory analysis of traffic accidents in the United States between 2016-2022 |
|---|
| Analyzes numerous potentially influential factors related to traffic accidents such as weather, time of day, location, temperature, etc. Utilizes the Census API to standardize city size based on population, ensuring a uniform basis for comparing accident rates across cities. End-to-end process includes sourcing data from Kaggle, incorporating the Census API to standardize city size, cleaning, merging, and formatting data in Python, and visualizing the results graphically. |
For more visualizations click here